Ecommerce Ebook

Data-Driven Merchandising in Fashion & Apparel: Why It’s the Perfect Fit

Discover how to keep up with fast-paced trends and create engaging product discovery experiences that not only satisfy fashion-savvy customers, but also streamline manual merchandising work and drive business KPIs.


How AI-Driven Tech Helps Merchandisers Stay Ahead of the Latest Trends

Fashion and apparel is a fast-moving industry. One minute a new look drops on TikTok, and everyone wants to buy it. Next week, it’s already out of style. Unfortunately for merchandisers, sinking too many hours into manual activities related to trend analysis and execution leaves little time for strategic work that improves the customer experience and moves the needle. 

Luckily, the right AI-driven tech can automate data analysis so you can effectively and efficiently act on spotting fashion trends. 

In this comprehensive guide, we’ll show you how innovative fashion and apparel companies are leveraging data and AI-native platforms to deliver personalized product discovery experiences that streamline merchandising workloads, help shoppers discover attractive items quicker, and ultimately drive business KPIs.

  • Resources to spot new fashion trends
  • Key data to optimize how you display and rank products
  • The power of AI in merchandising and in instilling shopper confidence in their purchases
  • Examples of fashion and apparel companies creating unforgettable ecommerce experiences

Holistic ecommerce search and product discovery. Obsessed with tangible results.

Constructor serves billions of queries every day, generating metrics essential to our customers’ success.

+13% Search Conversion
A13M Revenue
+5% Revenue per Visit
+9% Search Revenue
40M Revenue

Recognized in the retail tech industry for ease of integration and commitment to driving ecommerce metrics

2023Q3_Commerce Search And Product Discovery_179318_SP

Data-Driven Merchandising in Fashion & Apparel: Why It’s the Perfect Fit

Discover how AI-driven tech helps merchandisers analyze data to efficiently keep up with trends, improve the customer experience, and drive business KPIs.